Tlo Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our Microprocessor Debugging department. As a Data Scientist, you will be responsible for utilizing your expertise in machine learning and web development to analyze and debug microprocessors that are returned with failures by our clients. Your insights and solutions will play a crucial role in improving the quality and performance of our products.

**Responsibilities**:

- Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
- Organizes, interprets and structures insights from data, detects data anomalies and makes corrections.
- Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts.
- Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required.
- Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation.
- Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions.
- Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients.

Behavioral traits:

- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.

**Qualifications**:
Minimum Qualifications:

- Bachelor's degree in Computer Science, Data Science, or a related field.
- At least 2 years of experience in machine learning algorithms and techniques for Business.
- At least 2 years of experience with programming languages such as Python, R, and Java. (Front end and Back end)
- At least 2 years of experience with web development frameworks such as Django or Flask.
- Advanced English level
- Costa Rican unrestricted work permit.
- Familiarity with databases and data manipulation tools (e.g., SQL, Pandas).

Preferred Qualifications:

- Masters degree in Computer Science, Data Science, or a related field.
- Experience in debugging microprocessors or semiconductor devices.
- Knowledge of semiconductor manufacturing processes.
- Familiarity with cloud computing platforms and distributed systems.

**Inside this Business Group**:
The Infrastructure and Platform Solutions Group (IPSG) builds the silicon and platform infrastructure for Intel's silicon design teams. IPSG is comprised of a reusable pool of infrastructure IP blocks, design enabling services such as tools and automation, and a best-in-class post silicon ecosystem that ramps quickly to high volume manufacturing and validation. Our primary mission is to protect Intel's brand by providing the infrastructure necessary to enable all of Intel's products to hit the market on a dependable and predictable cadence.

**Posting Statement**:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

**Benefits**:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

**Working Model**:
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.
**In certain circumstances the work model may change to accommodate business needs.**
JobType

Hybrid